Sökning: "group recommender systems"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden group recommender systems.

  1. 1. Ingredient-based Group Recommender for Recipes (IGR2)

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :John Lindblad; Jonas Meddeb; [2022-02-16]
    Nyckelord :recommender systems; data science; user-generated content; contentbased filtering; singular value decomposition; recipes; food; group recommender systems;

    Sammanfattning : The number of food recipe options in modern society is vast and growing. While often being considered positive, the abundant options also lead to the so-called paradox of choice, i.e. that more options can lead to less happiness. LÄS MER


    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Santa Daniela Kanaska; [2022]
    Nyckelord :personalization; beauty tech; Artificial Intelligence; Recommender systems; AI ethics; data security; teknik för personliga hudvårdsråd; skönhetsteknik; Artificiell Intelligens; Rekommendationssystem; AI-etik; datasäkerhet;

    Sammanfattning : The researcher takes a user-centric empirical approach to estimate different consumer group participant views on the personalization technology adoption within the skincare industry. In addition, the study aims to highlight the main identified opportunities and concerns that users associate with the personalized technology solutions within the industry, such as skincare and product quizzes, in-depth questionnaires, smart skin analysis tools, and others. LÄS MER

  3. 3. Improving Recommender Engines for Video Streaming Platforms with RNNs and Multivariate Data

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Daniel Pérez Felipe; [2022]
    Nyckelord :Recurrent neural networks; Recommender systems; Video on demand; Clustering methods; Återkommande neurala nätverk; Rekommendationssystem; Video på begäran; Klustermetoder; Redes neuronales recurrentes; Sistemas de recomendación; Vídeo bajo demanda; Métodos de clustering;

    Sammanfattning : For over 4 years now, there has been a fierce fight for staying ahead in the so-called ”Streaming War”. The Covid-19 pandemic and its consequent confinement only worsened the situation. In such a market where the user is faced with too many streaming video services to choose from, retaining customers becomes a necessary must. LÄS MER

  4. 4. Evaluating the personalisation potential in local news

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Fredrik Angström; Petra Faber; [2021]
    Nyckelord :Personalisation; Recommender systems; News; Media; Recommender algorithms;

    Sammanfattning : Personalisation of content is a frequently used technique intended to improve user engagement and provide more value to users. Systems designed to provide recommendations to users are called recommender systems and are used in many different industries. LÄS MER

  5. 5. The Hidden Side Effects of Recommendation Systems : A study from user perspective to explore the ethical aspects of Recommender systems

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Saad Tariq; [2021]
    Nyckelord :Recommendation system; algorithm; data privacy; ethics of recommendation systems.;

    Sammanfattning : This study analyzes the recommendation systems from a user’s perspective and identifies five areas of concern in developing and using a recommendation system. The study’s methods are focus group discussions with Data scientists and Full-stack developers working in the industry. LÄS MER